New crop protection products through digitalization

- Jointly developed technology enables a more precise evaluation of the efficiency of new crop protection products

- Artificial intelligence and machine learning allow reliable analysis of diseases and pests in worldwide field trials

- Farmers benefit from more efficient R&D processes leading to crop protection innovations adapted to their needs

The two companies jointly developed a technology for automated image recognition to determine the species and quantity of plants, pests and diseases in greenhouse and field trials. 'Our collaboration with TECNALIA, started in 2014, enables us to employ state-of-the-art algorithms based on artificial intelligence and machine learning,' said Ramon Navarra-Mestre, Head of Global Agricultural Research Stations at BASF. 'This new, efficient technology provides us with more reliable information from our global field trials network as the image recognition assessments can be done more frequently and deliver more objective data compared to traditional methods.'

By analyzing and processing these large amounts of data from BASF's field trials, TECNALIA continuously develops its algorithms further. 'The more information we incorporate into our database, the more reliable and meaningful are the results we can provide to BASF,' added Jone Echazarra, Head of Computer Vision at TECNALIA. These comprehensive data sets enable researchers and developers at BASF to optimally evaluate the efficiency of new crop protection products. Already at an early stage of the R&D process, this allows to even stronger focus on the most promising, innovative active ingredients.

Source: Ag News
Photo by Quoc Huynh on Unsplash

Source: Ag News